The Lockheed Martin Artificial Intelligence Center (LAIC) team is looking for a Machine Learning Engineering Manager who will provide functional and technical leadership to a team of Artificial Intelligence & Machine Learning engineers. The ideal candidate will possess passion for conceptualizing, building, testing and maturing AI systems. The selected candidate will lead a range of projects including short-term sprints (rapid prototyping) and long-term engagements (integration, maturation of prototypes) and will be responsible for the technical execution of AI system development and integration activities for a number of simultaneous programs for the Cognitive Weapons & Effectors team. The chosen candidate will be engaged in system development activities throughout the entire project life cycle, including requirements generation, system and software design, implementation, integration (often in classified spaces) and flight test while ensuring the appropriate standards, processes, procedures, and tools are applied on assigned programs. This candidate will apply technical standards, principles, theories, concepts and techniques in the software field to develop tangible, differentiated and meaningful solutions aimed at significantly enhancing the sustainment of complex systems and enabling future hyper-battlespace capabilities. The chosen candidate will also advance the craft of software engineering, implementing new techniques and leverage AI to create state-of-the-art technologies. The selected candidate should expect to focus on specific technology areas that will enhance the effectiveness and reliability of kinetic and non-kinetic effectors.
From a functional perspective, the candidate will provide career development & guidance, perform merit and salary actions, develop training plans, and support recruiting, hiring and staffing activities.
In addition, the selected candidate will support the development of product line road maps, pursue new business opportunities, and assist in new business captures.
The candidate must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.
- Bachelor’s Degree in Engineering, Computer Science, or other related discipline
- Proven leadership experience in engineering assignments and successful proven results in leading and executing on software intensive programs
- General knowledge of Agile principles
- Proven experience leading virtual teams
- Strong and proven understanding of the engineering development process
- Ability to multi-task
- Excellent communication skills
- TS Security Clearance
- Must be a US Citizen
- Experience in modern Computer Vision, RF signal processing & Track Processing
- Experience in autonomy and developing autonomous systems.
- Experience using machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, etc)
- Experience with Python and libraries for scientific computing (NumPy, OpenCV, Scikit, Pandas, etc.)
- Basic understanding of web application development (React, Angular, TypeScript, etc.)
- Background in high-performance computing (CUDA)
- Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
- Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
- Experience developing applications on Linux
- Experience with C++
- Experience interfacing with databases (SQL, MongoDB, etc.)
- Experience deploying AI capabilities to SAPs
Pay Information
Full-Time Salary Range: $166900.00 - $309900.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor's degree in Engineering, Computer Science, or a related discipline
- Proven leadership experience in engineering assignments
- Proven success leading and executing software-intensive programs
- General knowledge of Agile principles
- Proven experience leading virtual teams
- Strong understanding of the engineering development process
- Ability to multitask
- Excellent communication skills
- Top Secret security clearance
- United States citizenship
- Experience with computer vision, RF signal processing, or track processing
- Experience developing autonomous systems and autonomy capabilities
- Experience with machine learning frameworks such as PyTorch, TensorFlow, MXNet, or Caffe
- Experience with Python and scientific computing libraries
- Basic web application development experience with React, Angular, or TypeScript
- High-performance computing experience with CUDA
- Experience with DevOps tools including Docker, Git, continuous integration, and continuous deployment
- Experience with networking and messaging technologies such as UDP, ZeroMQ, or RESTful APIs
- Experience developing applications on Linux
- Experience with C++
- Experience interfacing with SQL or MongoDB databases
- Experience deploying AI capabilities to Special Access Programs
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
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